膜蛋白设计新时代的曙光。

Q2 Agricultural and Biological Sciences
生物设计研究(英文) Pub Date : 2022-04-15 eCollection Date: 2022-01-01 DOI:10.34133/2022/9791435
Shahin Sowlati-Hashjin, Aanshi Gandhi, Michael Garton
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引用次数: 4

摘要

最近,在使用人工神经网络从序列预测蛋白质二级结构的能力方面取得了重大进展。这种新的高质量预测结构的可访问性为蛋白质设计界提供了一个巨大的机会。它对膜蛋白设计尤其受欢迎,几十年来,膜蛋白设计中解决结构的稀缺性一直是该领域的主要限制。在这里,我们回顾了迄今为止在膜蛋白设计方面所做的工作,并提出了可用于最有效地利用这种新的结构途径的现有和新兴工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dawn of a New Era for Membrane Protein Design.

Dawn of a New Era for Membrane Protein Design.

Dawn of a New Era for Membrane Protein Design.

Dawn of a New Era for Membrane Protein Design.

A major advancement has recently occurred in the ability to predict protein secondary structure from sequence using artificial neural networks. This new accessibility to high-quality predicted structures provides a big opportunity for the protein design community. It is particularly welcome for membrane protein design, where the scarcity of solved structures has been a major limitation of the field for decades. Here, we review the work done to date on the membrane protein design and set out established and emerging tools that can be used to most effectively exploit this new access to structures.

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来源期刊
CiteScore
3.90
自引率
0.00%
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审稿时长
12 weeks
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